Suong N.T. Ngo

598 citations
28 papers · 449 indexed · h-index 11
Topics
Drug Transport and Resistance Mechanisms (8 papers)Pharmacogenetics and Drug Metabolism (7 papers)Inflammatory mediators and NSAID effects (5 papers)

In The Last Decade

Suong N.T. Ngo

26 papers receiving 431 citations

Peers

Suong N.T. Ngo
Comparison fields: 5 of 100
  • Molecular Biology 137
  • Plant Science 99
  • Pharmacology 83
  • Food Science 53
  • Oncology 52
Replace Mônica Cristina Toffoli-Kadri with:
Mônica Cristina Toffoli-Kadri Brazil
Mahama Duwiejua Ghana
Kartik Janardan Salwe India
Ankita Wal India
Aboudoulatif Diallo Togo
Amal A. El-Kholy Egypt
Marcelo Silva Silvério Brazil
Francilene Amaral da Silva Brazil
Janine Naß Germany
I Zakiah Malaysia
Suong N.T. Ngo relative to Mônica Cristina Toffoli-Kadri Brazil Mônica Cristina Toffoli-Kadri's profile →
Citations per field
00.5×5.8×
Mônica Cristina Toffoli-Kadri · 1×
Citations per year

Countries citing papers authored by Suong N.T. Ngo

Since Specialization
Citations

This map shows the geographic impact of Suong N.T. Ngo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suong N.T. Ngo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suong N.T. Ngo more than expected).

Fields of papers citing papers by Suong N.T. Ngo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suong N.T. Ngo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suong N.T. Ngo. The network helps show where Suong N.T. Ngo may publish in the future.

Co-authorship network of co-authors of Suong N.T. Ngo

This figure shows the co-authorship network connecting the top 25 collaborators of Suong N.T. Ngo. A scholar is included among the top collaborators of Suong N.T. Ngo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suong N.T. Ngo. Suong N.T. Ngo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 17
3
Can multiple choice questions assess application of knowledge in pharmaceutical science teaching
0
4 1
5 4
6 1
7 6
8 5
9 15
10 157
11 8
12 3
13 4
14 15
15 13
16 69
17 6
18 9
19 25
20 2

About Suong N.T. Ngo

Suong N.T. Ngo is a scholar working on Pharmacology, Medical Laboratory Technology and Pharmaceutical Science, having authored 28 papers that have together received 449 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Pharmacology (83 citations), Biochemistry (49 citations) and Applied Microbiology and Biotechnology (8 citations). Suong N.T. Ngo has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include D. B. Williams, Richard Head, Ieva Stupans, Ross A. McKinnon, Lynne Cobiac, B.R. Jones, Anna‐Marie Babey, Marina Santiago, Thomas A. Angelo and Tina Hinton. Their work appears in journals such as Journal of Nutrition, British Journal of Pharmacology and Gene.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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